Dataset Versions
v1
Vehicle Detection v1
Generated on Jul 24, 2023
Popular Download Formats
YOLOv11
TXT annotations and YAML config used with YOLOv11.
YOLOv9
TXT annotations and YAML config used with YOLOv9.
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
5688 Total Images
View All Images
Dataset Split
Train Set 89%
5043Images
Valid Set 6%
323Images
Test Set 6%
322Images
Preprocessing
Modify Classes: 6 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±5° Horizontal, ±5° Vertical
Grayscale: Apply to 20% of images
Saturation: Between -20% and +20%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 1% of pixels
Bounding Box: Shear: ±5° Horizontal, ±5° Vertical
Bounding Box: Brightness: Between -10% and +10%
Bounding Box: Exposure: Between -10% and +10%
Bounding Box: Blur: Up to 2px
Bounding Box: Noise: Up to 1% of pixels